Relevant bibliographies by topics / Multiple constraints

Academic literature on the topic 'Multiple constraints'

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Published: 4 June 2021
Last updated: 30 January 2023

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Journal articles on the topic "Multiple constraints"

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Gan, Yan, Junxin Gong, Mao Ye, Yang Qian, Kedi Liu, and Su Zhang. "GANs with Multiple Constraints for Image Translation." Complexity 2018 (December 9, 2018): 1–12. http://dx.doi.org/10.1155/2018/4613935.

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Unpaired image translation is a challenging problem in computer vision, while existing generative adversarial networks (GANs) models mainly use the adversarial loss and other constraints to model. But the degree of constraint imposed on the generator and the discriminator is not enough, which results in bad image quality. In addition, we find that the current GANs-based models have not yet been implemented by adding an auxiliary domain, which is used to constrain the generator. To solve the problem mentioned above, we propose a multiscale and multilevel GANs (MMGANs) model for image translation. In this model, we add an auxiliary domain to constrain generator, which combines this auxiliary domain with the original domains for modelling and helps generator learn the detailed content of the image. Then we use multiscale and multilevel feature matching to constrain the discriminator. The purpose is to make the training process as stable as possible. Finally, we conduct experiments on six image translation tasks. The results verify the validity of the proposed model.
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Brosowsky, Mathis, Florian Keck, Olaf Dünkel, and Marius Zöllner. "Sample-Specific Output Constraints for Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (May 18, 2021): 6812–21. http://dx.doi.org/10.1609/aaai.v35i8.16841.

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It is common practice to constrain the output space of a neural network with the final layer to a problem-specific value range. However, for many tasks it is desired to restrict the output space for each input independently to a different subdomain with a non-trivial geometry, e.g. in safety-critical applications, to exclude hazardous outputs sample-wise. We propose ConstraintNet—a scalable neural network architecture which constrains the output space in each forward pass independently. Contrary to prior approaches, which perform a projection in the final layer, ConstraintNet applies an input-dependent parametrization of the constrained output space. Thereby, the complete interior of the constrained region is covered and computational costs are reduced significantly. For constraints in form of convex polytopes, we leverage the vertex representation to specify the parametrization. The second modification consists of adding an auxiliary input in form of a tensor description of the constraint to enable the handling of multiple constraints for the same sample. Finally, ConstraintNet is end-to-end trainable with almost no overhead in the forward and backward pass. We demonstrate ConstraintNet on two regression tasks: First, we modify a CNN and construct several constraints for facial landmark detection tasks. Second, we demonstrate the application to a follow object controller for vehicles and accomplish safe reinforcement learning in this case. In both experiments, ConstraintNet improves performance and we conclude that our approach is promising for applying neural networks in safety-critical environments.
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TYAN, CHING-YU, PAUL P. WANG, and DENNIS R. BAHLER. "THE DESIGN OF AN ADAPTIVE MULTIPLE AGENT FUZZY CONSTRAINT-BASED CONTROLLER (MAFCC) FOR A COMPLEX HYDRAULIC SYSTEM." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 04, no. 06 (December 1996): 537–51. http://dx.doi.org/10.1142/s0218488596000299.

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In this paper, we present a complete design framework for an adaptive multiple agent fuzzy constraint-based controller (MAFCC) based on fuzzy penumbra constraint processing in each fuzzy constraint subnetwork collaborating with a connected constraint network and its corresponding semantic modeling in a first-order predicate calculus (FOPC) language, with application to a complex hydraulic system. The concept of “multiple agent” and “fuzzy constraint subnetwork” in a complex control system is introduced and some basic definitions of penumbra fuzzy constraint processing in a constraint subnetwork and the collaboration with an overall connected constraint network and its semantic modeling are addressed. As a result, a human agent interacts with system agents and allows the constraints to be added or deleted on-line according to the constraints imposed from the outside environment. Near-optimal system performance is accomplished by restricting all the penumbra constraints to be satisfied in each constraint subnetwork simultaneously which are interconnected as a result of constraints that exist between each of them. Following the principle of constraint satisfaction and fuzzy local propagation reasoning, each individual system agent is now constrained to behave in a certain fashion as dictated by the overall constraint network. In addition, the constraint network in MAFCC system provides an update strategy which makes a real time adaptive hydraulic control for all 20 cities possible.
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Huang, C. W., and K. W. Chou. "Volume Adjustable Topology Optimization with Multiple Displacement Constraints." Journal of Mechanics 34, no. 6 (August 18, 2017): 759–70. http://dx.doi.org/10.1017/jmech.2017.68.

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AbstractMost topology optimization methods seek optimal topologies that satisfy a minimum compliance with a pre-specified volume constraint in the design domain. However, practical designs often include various functional constraints and the optimal solid volume ratios are unknown a priori, which implies a gap between topology optimization methods and practical designs in industries. This paper studies the performance-based topology optimization (PTO) problem that searches for the optimal topology with minimum compliance to satisfy the pre-specified functional constraints without a pre-specified volume constraint. A novel element-based evolutionary switching method (ESM), which can automatically adjust solid volume ratio and material distribution, is developed and implemented using the commercial finite element software ABAQUS. The effects of displacement constraints on the optimal topologies are investigated, and the differences between PTO problems and the topology optimization problem which has a volume constraint are discussed. Numerical examples demonstrate that the optimal topologies are mainly determined by the load pattern and locally changed with respect to the location of the active displacement constraints. In addition, the displacement constraints to a large extent control the solid volume ratio of optimal topologies according to the allowable displacements in PTO problems. Finally, the proposed ESM could provide conservative solutions to the topology optimization with multiple displacement constraints problems.
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Yu, Chun-Mei, Dang-Jun Zhao, and Ye Yang. "Efficient Convex Optimization of Reentry Trajectory via the Chebyshev Pseudospectral Method." International Journal of Aerospace Engineering 2019 (May 2, 2019): 1–9. http://dx.doi.org/10.1155/2019/1414279.

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A novel sequential convex (SCvx) optimization scheme via the Chebyshev pseudospectral method is proposed for efficiently solving the hypersonic reentry trajectory optimization problem which is highly constrained by heat flux, dynamic pressure, normal load, and multiple no-fly zones. The Chebyshev-Gauss Legend (CGL) node points are used to transcribe the original dynamic constraint into algebraic equality constraint; therefore, a nonlinear programming (NLP) problem is concave and time-consuming to be solved. The iterative linearization and convexification techniques are proposed to convert the concave constraints into convex constraints; therefore, a sequential convex programming problem can be efficiently solved by convex algorithms. Numerical results and a comparison study reveal that the proposed method is efficient and effective to solve the problem of reentry trajectory optimization with multiple constraints.
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Huang, Yue. "Heterogeneous Data Clustering Considering Multiple User-provided Constraints." International Journal of Computers Communications & Control 14, no. 2 (April 14, 2019): 170–82. http://dx.doi.org/10.15837/ijccc.2019.2.3419.

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Clustering on heterogeneous networks which consist of multi-typed objects and links has proved to be a useful technique in many scenarios. Although numerous clustering methods have achieved remarkable success, current clustering methods for heterogeneous networks tend to consider only internal information of the dataset. In order to utilize background domain knowledge, we propose a general framework for clustering heterogeneous data considering multiple user-provided constrains. Specifically, we summarize that three types of manual constraints on the object can be used to guide the clustering process. Then we propose the User- HeteClus algorithm to solve the key issues in the case of star-structure heterogeneous data, which incorporating the user constraint into similarity measurement between central objects. Experiments on a real-world dataset show the effectiveness of the proposed algorithm.
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Barhorst, A. A., and L. J. Everett. "Contact/Impact in Hybrid Parameter Multiple Body Mechanical Systems." Journal of Dynamic Systems, Measurement, and Control 117, no. 4 (December 1, 1995): 559–69. http://dx.doi.org/10.1115/1.2801115.

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The multiple motion regime (free/constrained) dynamics of hybrid parameter multiple body (HPMB) systems is addressed. Impact response has characteristically been analyzed using impulse-momentum techniques. Unfortunately, the classical methods for modeling complex HPMB systems are energy based and have proven ineffectual at modeling impact. The problems are exacerbated by the problematic nature of time varying constraint conditions. This paper outlines the reformulation of a recently developed HPMB system modeling methodology into an impulse-momentum formulation, which systematically handles the constraints and impact. The starting point for this reformulation is a variational calculus based methodology. The variational roots of the methodology allows rigorous equation formulation which includes the complete nonlinear hybrid differential equations and boundary conditions. Because the methodology presented in this paper is formulated in the constraint-free subspace of the configuration space, both holonomic and nonholonomic constraints are automatically satisfied. As a result, the constraint-addition/deletion algorithms are not needed. Generalized forces of constraint can be directly calculated via the methodology, so the condition for switching from one motion regime to another is readily determined. The resulting equations provides a means to determine after impact velocities (and velocity fields for distributed bodies) which provide the after collision initial conditions. Finally the paper demonstrates, via example, how to apply the methodology to contact/impact in robotic manipulators and structural systems.
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Galison, Peter. "Multiple Constraints, Simultaneous Solutions." PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988, no. 2 (January 1988): 157–63. http://dx.doi.org/10.1086/psaprocbienmeetp.1988.2.192880.

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Coroianu, Lucian, Robert Fullér, Marek Gagolewski, and Simon James. "Constrained ordered weighted averaging aggregation with multiple comonotone constraints." Fuzzy Sets and Systems 395 (September 2020): 21–39. http://dx.doi.org/10.1016/j.fss.2019.09.006.

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Kong, Feng, and Dong Dou. "Resource-Constrained Project Scheduling Problem under Multiple Time Constraints." Journal of Construction Engineering and Management 147, no. 2 (February 2021): 04020170. http://dx.doi.org/10.1061/(asce)co.1943-7862.0001990.

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Dissertations / Theses on the topic "Multiple constraints"

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Guasco, Luciano M. "Multiple sequence alignment correction using constraints." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/5143.

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Trabalho apresentado no âmbito do European Master in Computational Logics, como requisito parcial para obtenção do grau de Mestre em Computational Logics
One of the most important fields in bioinformatics has been the study of protein sequence alignments. The study of homologous proteins, related by evolution, shows the conservation of many amino acids because of their functional and structural importance. One particular relationship between the amino acid sites in the same sequence or between different sequences, is protein-coevolution, interest in which has increased as a consequence of mathematical and computational methods used to understand the spatial, functional and evolutionary dependencies between amino acid sites. The principle of coevolution means that some amino acids are related through evolution because mutations in one site can create evolutionary pressures to select compensatory mutations in other sites that are functionally or structurally related. With the actual methods to detect coevolution, specifically mutual information techniques from the information theory field, we show in this work that much of the information between coevolved sites is lost because of mistakes in the multiple sequence alignment of variable regions. Moreover, we show that using these statistical methods to detect coevolved sites in multiple sequence alignments results in a high rate of false positives. Due to the amount of errors in the detection of coevolved site from multiple sequence alignments, we propose in this work a method to improve the detection efficacy of coevolved sites and we implement an algorithm to fix such sites correcting the misalignment produced in those specific locations. The detection part of our work is based on the mutual information between sites that are guessed as having coevolved, due to their high statistical correlation score. With this information we search for possible misalignments on those regions due to the incorrect matching of amino acids during the alignment. The re-alignment part is based on constraint programming techniques, to avoid the combinatorial complexity when one amino acid can be aligned with many others and to avoid inconsistencies in the alignments. In this work, we present a framework to impose constraints over the sequences, and we show how it is possible to compute alignments based on different criteria just by setting constraint between the amino acids. This framework can be applied not only for improving the alignment and detection of coevolved regions, but also to any desired constraints that may be used to express functional or structural relations among the amino acids in multiple sequences. We show also that after we fix these misalignments, using constraints based techniques, the correlation between coevolved sites increases and, in general, the new alignment is closer to the correct alignment than the MSA alignment. Finally, we show possible future research lines with the objective of overcoming some drawbacks detected during this work.
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Maesto, Tony V. (Tony Vu) 1973. "Nulling performance on antenna patterns using multiple null constraints vs. derivative constraints." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/84209.

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Tae, Yun-Jin. "Leisure constraints multiple hileararchy [sic] stratification perspectives /." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1202500372.

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Herrmann, Felix J., and Eric Verschuur. "Curvelet-domain multiple elimination with sparseness constraints." Society of Exploration Geophysicists, 2004. http://hdl.handle.net/2429/426.

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Predictive multiple suppression methods consist of two main steps: a prediction step, in which multiples are predicted from the seismic data, and a subtraction step, in which the predicted multiples are matched with the true multiples in the data. The last step appears crucial in practice: an incorrect adaptive subtraction method will cause multiples to be sub-optimally subtracted or primaries being distorted, or both. Therefore, we propose a new domain for separation of primaries and multiples via the Curvelet transform. This transform maps the data into almost orthogonal localized events with a directional and spatialtemporal component. The multiples are suppressed by thresholding the input data at those Curvelet components where the predicted multiples have large amplitudes. In this way the more traditional filtering of predicted multiples to fit the input data is avoided. An initial field data example shows a considerable improvement in multiple suppression.
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Robinson, Michael 1982. "Robust minimum variance beamforming with multiple response constraints." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99791.

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Conventional beamformers can be sensitive to mismatches between presumed and actual steering vectors of the signal-of-interest. A recently proposed class of robust beamformers aim to counteract this problem by using a non-attenuation constraint inside a single hypersphere centered at the presumed steering vector of the signal-of-interest. In an effort to strike a balance between robustness to steering vector error and interference-plus-noise suppression, we propose in this manuscript to use multiple concentric hyperspheres instead of one with different degrees of protection in each. We derive several useful properties of this multiply constrained beamformer and use numerical simulations to show that using two constraints yields improved signal-to-interference-plus-noise-ratio compared to one constraint in certain scenarios, particularly at a large input signal-to-noise-ratio.
The manuscript also includes an overview of conventional beamforming, the mismatch problem and previously proposed robust beamformers.
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Gera, Geetanjali. "Motor abundance contributes to resolve multiple task constraints." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 109 p, 2009. http://proquest.umi.com/pqdweb?did=1885754581&sid=5&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Humphris, Elisabeth Lyn. "Computational protein design with multiple functional and structural constraints." Diss., Search in ProQuest Dissertations & Theses. UC Only, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3390110.

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Chen, Yuhan. "Formation of the complex neural networks under multiple constraints." HKBU Institutional Repository, 2013. http://repository.hkbu.edu.hk/etd_ra/1504.

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Herrmann, Felix J., and Dirk J. Verschuur. "Robust curvelet-domain primary-multiple separation with sparseness constraints." European Association of Geoscientists & Engineers, 2005. http://hdl.handle.net/2429/454.

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A non-linear primary-multiple separation method using curvelets frames is presented. The advantage of this method is that curvelets arguably provide an optimal sparse representation for both primaries and multiples. As such curvelets frames are ideal candidates to separate primaries from multiples given inaccurate predictions for these two data components. The method derives its robustness regarding the presence of noise; errors in the prediction and missing data from the curvelet frame's ability (i) to represent both signal components with a limited number of multi-scale and directional basis functions; (ii) to separate the components on the basis of differences in location, orientation and scales and (iii) to minimize correlations between the coefficients of the two components. A brief sketch of the theory is provided as well as a number of examples on synthetic and real data.
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Kieu, Duy Thong. "Inversion of multiple geophysical data sets using petrophysical constraints." Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/65987.

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The inversion of multiple geophysical datasets co-operatively is a challenge that I address with the fuzzy cluster method. Techniques to incorporate petrophysical constraints and other data in a robust manner in seismic and magnetotelluric inversion were devised and tested upon synthetic data, and real datasets from Nevada, USA and Kevitsa, Finland. The resulting earth models were demonstrated to be better than with smooth constrained approaches and produced useful outputs for exploration and mining.
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Books on the topic "Multiple constraints"

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Jayaswal, Sachin. Capacitated multiple allocation hub location with service level constraints for multiple consignment. Ahmedabad: Indian Institute of Management, 2013.

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Tofallis, Chris. Model building with multiple dependent variables and constraints. Hertford: University of Hertforshire Business School, 1998.

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Chattopadhyay, Aditi. Minimum design of rotorcraft blades with multiple frequency and stress constraints. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1988.

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The development of the grammatical system in early second language acquisition: The multiple constraints hypothesis. Amsterdam, The Netherlands: John Benjamins Publishing Company, 2013.

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1975-, Peng Yi, ed. Multiple criteria and multiple constraint levels linear programming: Concepts, techniques and applications. Singapore: World Scientific, 2001.

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Bertsekas, Dimitri P. Constrained optimization and Lagrange multiplier methods. Belmont, Mass: Athena Scientific, 1996.

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Fonseca, Carlos M. Multiobjective optimization and multiple constraint handling with evolutionary algorithms II: Application example. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1995.

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Fonseca, Carlos M. Multiobjective optimization and multiple constraint handling with evolutionary algorithms I: A unified formulation. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1995.

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Kasser, Susan L. Constraints on functional competence in persons with multiple sclerosis. 1997.

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James, Kai. Optimal structural topology design for multiple load cases with stress constraints. 2006.

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Book chapters on the topic "Multiple constraints"

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Luo, Albert C. J. "Multiple Constraints Synchronization." In Dynamical System Synchronization, 121–55. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5097-9_4.

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Tomas, Amber. "Constraints in Weighted Averaging." In Multiple Classifier Systems, 354–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02326-2_36.

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Daellenbach, Hans G., and Donald C. McNickle. "Multiple constraints: linear programming." In Management Science, 359–406. London: Macmillan Education UK, 2005. http://dx.doi.org/10.1007/978-0-230-80203-2_14.

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Daellenbach, Hans, Donald Mcnickle, and Shane Dye. "Multiple constraints: linear models." In Management Science, 367–418. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-07512-3_14.

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Nagel, Stuart S. "Multiple and Possibly Conflicting Constraints." In Decision-Aiding Software, 112–27. London: Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-11657-7_8.

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Tistarelli, Massimo. "Multiple constraints for optical flow." In Computer Vision — ECCV '94, 61–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57956-7_6.

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Arnold, Jennifer E. "Multiple constraints on reference form." In Preferred Argument Structure, 225–45. Amsterdam: John Benjamins Publishing Company, 2003. http://dx.doi.org/10.1075/sidag.14.11arn.

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Lütkepohl, Helmut. "VAR Processes with Parameter Constraints." In Introduction to Multiple Time Series Analysis, 167–214. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-02691-5_5.

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Lütkepohl, Helmut. "VAR Processes with Parameter Constraints." In Introduction to Multiple Time Series Analysis, 167–214. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-61695-2_5.

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Lütkepohl, Helmut. "VAR Processes with Parameter Constraints." In New Introduction to Multiple Time Series Analysis, 193–231. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-27752-1_5.

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Conference papers on the topic "Multiple constraints"

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Dunik, Jindrich, Miroslav Simandl, and Ondrej Straka. "Multiple-model filtering with multiple constraints." In 2010 American Control Conference (ACC 2010). IEEE, 2010. http://dx.doi.org/10.1109/acc.2010.5531573.

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Tandon, Ravi, Behzad Ahmadi, Osvaldo Simeone, and H. Vincent Poor. "Gaussian multiple descriptions with common and constrained reconstruction constraints." In 2012 IEEE International Symposium on Information Theory - ISIT. IEEE, 2012. http://dx.doi.org/10.1109/isit.2012.6283486.

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Duan, Mengmeng, and Hongqiu Zhu. "Constrained Consensus of Multiple Autonomous Vehicles with Nonconvex Constraints." In 2018 International Conference on Intelligent Rail Transportation (ICIRT). IEEE, 2018. http://dx.doi.org/10.1109/icirt.2018.8641653.

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Myers, Gene, Sanford Selznick, Zheng Zhang, and Webb Miller. "Progressive multiple alignment with constraints." In the first annual international conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/267521.267758.

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Yang, R. J. "Topology Optimization With Multiple Constraints." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0052.

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Abstract Topology optimization is used for determining the best layout of structural components to achieve predetermined performance goals. The density method which uses material density of each finite element as the design variable is employed. Unlike the most common approach which uses the optimality criteria methods, the topology design problem is formulated as a general optimization problem and is solved by the mathematical programming method. One of the major advantages of this approach is its generality; thus it can solve various problems, e.g. multi-objective and multi-constraint problems. In this study, the structural weight is chosen as the objective function and structural responses such as the compliances, displacements, and the natural frequencies are treated as the constraints. The MSC/NASTRAN finite element code is employed for response analyses. One example with four different optimization formulations was used to demonstrate this approach.
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Patt-Shamir, Boaz, and Dror Rawitz. "Video Distribution Under Multiple Constraints." In 2008 28th IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE, 2008. http://dx.doi.org/10.1109/icdcs.2008.23.

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Béchet, Nicolas, Peggy Cellier, Thierry Charnois, and Bruno Crémilleux. "Sequence mining under multiple constraints." In SAC 2015: Symposium on Applied Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2695664.2695889.

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Dohmen, Maurice, Klaas Jan de Kraker, and Willem F. Bronsvoort. "Feature Validation in a Multiple-View Modeling System." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/cie-1321.

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Abstract A new approach to specification and maintenance of feature validity conditions in a multiple-view feature modeling system is presented. Each view of a product contains a feature model. Features are specified declaratively in an object-oriented language, using constraints to specify feature validity conditions. Constraints are also used to specify relations between features. Validation of the feature models is done by a constraint manager that integrates different solving techniques. The constraint graph is mapped by the constraint manager onto constraints that are handled by dedicated solvers. If views are consistent, i.e. their feature models represent the same geometry, feature parameters can be changed. Changes are propagated through link constraints between different views.
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Sülflow, Andre, Robert Wille, Görschwin Fey, and Rolf Drechsler. "Evaluation of Cardinality Constraints on SMT-Based Debugging." In 2009 39th International Symposium on Multiple-Valued Logic. IEEE, 2009. http://dx.doi.org/10.1109/ismvl.2009.28.

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Mital, Nita, Naveen Kumar, and Vasudha Bhatnagar. "Mining multiple table databases with multiple minimum support constraints." In Defense and Security, edited by Belur V. Dasarathy. SPIE, 2004. http://dx.doi.org/10.1117/12.541757.

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Reports on the topic "Multiple constraints"

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Charnes, A., and D. Zhang. A Further Generalized Kettele Algorithm with Multiple Constraints. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada196054.

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Schmitt-Grohé, Stephanie, and Martín Uribe. Multiple Equilibria in Open Economy Models with Collateral Constraints: Overborrowing Revisited. Cambridge, MA: National Bureau of Economic Research, May 2016. http://dx.doi.org/10.3386/w22264.

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Hamilton, Charles R. The Effects of Multiple Constraints on the Army's New Officer Evaluation Report. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada404930.

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Lambrakos, S. G., and A. Shabaev. Temperature Histories of Ti-6Al-4V Pulsed-Mode Laser Welds Calculated Using Multiple Constraints. Fort Belvoir, VA: Defense Technical Information Center, August 2015. http://dx.doi.org/10.21236/ada625867.

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Levy, Brian. How Political Contexts Influence Education Systems: Patterns, Constraints, Entry Points. Research on Improving Systems of Education (RISE), December 2022. http://dx.doi.org/10.35489/bsg-rise-2022/pe04.

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This paper synthesises the findings of a set of country studies commissioned by the RISE Programme to explore the influence of politics and power on education sector policymaking and implementation. The synthesis groups the countries into three political-institutional contexts: Dominant contexts, where power is centred around a political leader and a hierarchical governance structure. As the Vietnam case details, top-down leadership potentially can provide a robust platform for improving learning outcomes. However, as the case studies of Ethiopia, Indonesia, Nigeria, and Tanzania illustrate, all-too-often dominant leaders’ goals vis-à-vis the education sector can veer in other directions. In impersonal competitive contexts, a combination of strong formal institutions and effective processes of resolving disagreements can, on occasion, result in a shared commitment among powerful interests to improve learning outcomes—but in none of the case studies is this outcome evident. In Peru, substantial learning gains have been achieved despite messy top-level politics. But the Chilean, Indian, and South African case studies suggest that the all-too-common result of rule-boundedness plus unresolved political contestation over the education sector’s goals is some combination of exaggerated rule compliance and/or performative isomorphic mimicry. Personalised competitive contexts (Bangladesh, Ghana, and Kenya for example) lack the seeming strengths of either their dominant or their impersonal competitive contexts; there are multiple politically-influential groups and multiple, competing goals—but no credible framework of rules to bring coherence either to political competition or to the education bureaucracy. The case studies show that political and institutional constraints can render ineffective many specialised sectoral interventions intended to improve learning outcomes. But they also point to the possibility that ‘soft governance’ entry points might open up some context-aligned opportunities for improving learning outcomes. In dominant contexts, the focus might usefully be on trying to influence the goals and strategies of top-level leadership. In impersonal competitive contexts, it might be on strengthening alliances between mission-oriented public officials and other developmentally-oriented stakeholders. In personalised competitive contexts, gains are more likely to come from the bottom-up—via a combination of local-level initiatives plus a broader effort to inculcate a shared sense among a country’s citizenry of ‘all for education’.
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Levy, Brian. How Political Contexts Influence Education Systems: Patterns, Constraints, Entry Points. Research on Improving Systems of Education (RISE), December 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/122.

Full text
Abstract:
This paper synthesises the findings of a set of country studies commissioned by the RISE Programme to explore the influence of politics and power on education sector policymaking and implementation. The synthesis groups the countries into three political-institutional contexts: Dominant contexts, where power is centred around a political leader and a hierarchical governance structure. As the Vietnam case details, top-down leadership potentially can provide a robust platform for improving learning outcomes. However, as the case studies of Ethiopia, Indonesia, Nigeria, and Tanzania illustrate, all-too-often dominant leaders’ goals vis-à-vis the education sector can veer in other directions. In impersonal competitive contexts, a combination of strong formal institutions and effective processes of resolving disagreements can, on occasion, result in a shared commitment among powerful interests to improve learning outcomes—but in none of the case studies is this outcome evident. In Peru, substantial learning gains have been achieved despite messy top-level politics. But the Chilean, Indian, and South African case studies suggest that the all-too-common result of rule-boundedness plus unresolved political contestation over the education sector’s goals is some combination of exaggerated rule compliance and/or performative isomorphic mimicry. Personalised competitive contexts (Bangladesh, Ghana, and Kenya for example) lack the seeming strengths of either their dominant or their impersonal competitive contexts; there are multiple politically-influential groups and multiple, competing goals—but no credible framework of rules to bring coherence either to political competition or to the education bureaucracy. The case studies show that political and institutional constraints can render ineffective many specialised sectoral interventions intended to improve learning outcomes. But they also point to the possibility that ‘soft governance’ entry points might open up some context-aligned opportunities for improving learning outcomes. In dominant contexts, the focus might usefully be on trying to influence the goals and strategies of top-level leadership. In impersonal competitive contexts, it might be on strengthening alliances between mission-oriented public officials and other developmentally-oriented stakeholders. In personalised competitive contexts, gains are more likely to come from the bottom-up—via a combination of local-level initiatives plus a broader effort to inculcate a shared sense among a country’s citizenry of ‘all for education’.
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Tella, S., J. C. Roddick, and W. Davis. Geochronological constraints on the multiple displacement history of the Amer Mylonite Zone, Churchill structural province, District of Keewatin, Northwest Territories, Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/209479.

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Aparicio, Gabriela, Vida Bobić, Fernando De Olloqui, María Carmen Fernández Diez, María Paula Gerardino, Oscar A. Mitnik, and Sebastian Vargas Macedo. Liquidity or Capital?: The Impacts of Easing Credit Constraints in Rural Mexico. Inter-American Development Bank, June 2021. http://dx.doi.org/10.18235/0003336.

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This paper evaluates the effectiveness of easing credit constraints for rural producers in Mexico through loans provided by a national public development finance institution. In contrast to most of the existing literature, the study focuses on the effect of medium-sized loans over a two- to four-year time horizon. This paper looks at the effects of such loans on production and investment decisions, input use, and yields. Using a multiple treatment methodology, it explores the differential impacts of providing liquidity for working capital versus providing credit for investments in fixed assets. It finds that loans increased the likelihood that producers grow and sell certain key annual crops, in particular among recipients of working capital loans. It also finds significant effects on production value and sales (per hectare), with similar impacts for recipients of both types of loans, with gains in yields driven by changes in labor quality and more intensive use of key inputs. There is no evidence of significant effects on the purchase of large machinery, but there are impacts on the acquisition of cattle. Overall, the results reported in this paper suggest that lack of liquidity is at least as important as lack of funding for new investment in capital for rural producers in Mexico. Producers benefit from easing their credit constraints, regardless of the type of loan used for that purpose.
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Chow, S. I., M. D. Zoltowski, and G. M. Kautz. Multiply-Constrained MVDR Matched Field Processing With A-Posteriori Constraints for Enhanced Robustness to Mismatch. Fort Belvoir, VA: Defense Technical Information Center, December 1991. http://dx.doi.org/10.21236/ada244883.

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Szroeter, Jerzy, and Le-Yu Chen. Hypothesis testing of multiple inequalities: the method of constraint chaining. Cemmap, June 2009. http://dx.doi.org/10.1920/wp.cem.2009.1309.

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